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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Retrosynthesis prediction with an interpretable deep-learning framework based on molecular assembly tasks
Y. Wang, Chao Pang, Yuzhe Wang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Prediction of blood–brain barrier penetrating peptides based on data augmentation with Augur
Zhi-Feng Gu, Yu-Duo Hao, Tianyu Wang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 10
A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation
Mengting Niu, Chunyu Wang, Zhanguo Zhang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 9
Re-evaluating Retrosynthesis Algorithms with Syntheseus
Krzysztof Maziarz, Austin Tripp, Guoqing Liu, et al.
Faraday Discussions (2024)
Closed Access | Times Cited: 8
Developing BioNavi for Hybrid Retrosynthesis Planning
Tao Zeng, Zhehao Jin, Shuangjia Zheng, et al.
JACS Au (2024) Vol. 4, Iss. 7, pp. 2492-2502
Open Access | Times Cited: 7
Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction
Hao Li, Da Long, Yuan Li, et al.
Nature Computational Science (2025)
Closed Access
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access
Application of Transformers to Chemical Synthesis
Dong Jin, Yuan Liang, Zihao Xiong, et al.
Molecules (2025) Vol. 30, Iss. 3, pp. 493-493
Open Access
Artificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry
Lanxin Long, Rui Li, Jian Zhang
Journal of Medicinal Chemistry (2025)
Closed Access
HiRXN: Hierarchical Attention-Based Representation Learning for Chemical Reaction
Yahui Cao, Tao Zhang, Xin Zhao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Drug discovery and development in the era of artificial intelligence: From machine learning to large language models
Shenghui Guan, Guanyu Wang
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100070-100070
Open Access | Times Cited: 5
Extrapolation validation (EV): a universal validation method for mitigating machine learning extrapolation risk
Mengxian Yu, Yin‐Ning Zhou, Qiang Wang, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 1058-1067
Open Access | Times Cited: 4
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization
Ziqi Liu, Tao Bai, Bin Liu, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108289-108289
Closed Access | Times Cited: 3
MFD–GDrug: multimodal feature fusion-based deep learning for GPCR–drug interaction prediction
Xingyue Gu, Junkai Liu, Yue Yu, et al.
Methods (2024) Vol. 223, pp. 75-82
Closed Access | Times Cited: 2
MGDDI: A multi-scale graph neural networks for drug–drug interaction prediction
Guannan Geng, Lizhuang Wang, Yanwei Xu, et al.
Methods (2024) Vol. 228, pp. 22-29
Closed Access | Times Cited: 2
Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique
Hao Huang, Zhaoli Wang, Yaoxing Liao, et al.
Ecological Informatics (2024) Vol. 84, pp. 102904-102904
Open Access | Times Cited: 2
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 2
A new method for handling heterogeneous data in bioinformatics
Ren Qi, Zehua Zhang, Jin Wu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107937-107937
Closed Access | Times Cited: 1
Repurposing quantum chemical descriptor datasets for on-the-fly generation of informative reaction representations: application to hydrogen atom transfer reactions
Javier Emilio Alfonso Ramos, Rebecca M. Neeser, Thijs Stuyver
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 919-931
Open Access | Times Cited: 1
Application of Modern Intelligent Algorithms in Retrosynthesis Prediction
Jianhan Liao, Shi Xiao-xin, Tong Zhu
(2024)
Open Access | Times Cited: 1
Identification of DNase I hypersensitive sites in the human genome by multiple sequence descriptors
Yan-Ting Jin, Yang Tan, Z. Gan, et al.
Methods (2024) Vol. 229, pp. 125-132
Closed Access | Times Cited: 1
Artificial Intelligence Methods and Models for Retro-Biosynthesis: A Scoping Review
Guillaume Gricourt, Philippe Meyer, Thomas Duigou, et al.
ACS Synthetic Biology (2024) Vol. 13, Iss. 8, pp. 2276-2294
Open Access | Times Cited: 1
Site-specific template generative approach for retrosynthetic planning
Yu Shee, Haote Li, Pengpeng Zhang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
AI-driven precision subcellular navigation with fluorescent probes
Yingli Zhu, Yanpeng Fang, Wenzhi Huang, et al.
Journal of Materials Chemistry B (2024) Vol. 12, Iss. 43, pp. 11054-11062
Closed Access | Times Cited: 1
Generative LLMs in Organic Chemistry: Transforming Esterification Reactions into Natural Language Procedures
Mantas Vaškevičius, Jurgita Kapočiūtė-Dzikienė, Liudas Šlepikas
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13140-13140
Open Access | Times Cited: 4
Investigating the Reliability and Interpretability of Machine Learning Frameworks for Chemical Retrosynthesis
Friedrich Hastedt, Rowan M. Bailey, Klaus Hellgardt, et al.
(2024)
Open Access
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